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Discover 1,001 open source projects
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cszn/KAIR
Image Restoration Toolbox with PyTorch-based training and testing codes for various AI-powered restoration models.
dair-ai/ML-Notebooks
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
girafe-ai/ml-course
An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.
HobbitLong/SupContrast
PyTorch implementation of Supervised Contrastive Learning for AI-powered development tools
open-mmlab/mmyolo
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
ShangtongZhang/DeepRL
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
facebookresearch/PyTorch-BigGraph
A powerful graph embedding library for generating node embeddings from large-scale graph-structured data.
meetps/pytorch-semseg
A library of semantic segmentation architectures implemented in PyTorch for computer vision applications.
thu-pacman/chitu
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
facebookresearch/fairscale
PyTorch extensions for high performance and large scale training.
shenweichen/DeepCTR-Torch
A PyTorch-based package of deep learning-based CTR models for easy-to-use, modular, and extendible development.
catalyst-team/catalyst
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
clovaai/CRAFT-pytorch
An open-source PyTorch implementation of a text detection algorithm for curved text in images.
tianzhi0549/FCOS
A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.
tamarott/SinGAN
Official PyTorch implementation of the SinGAN paper, a generative model that can be trained on a single natural image.
XinJingHao/DRL-Pytorch
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
rasbt/reasoning-from-scratch
Implement reasoning LLM in PyTorch from scratch
ysh329/deep-learning-model-convertor
A convertor/conversion tool for deep learning models across various deep learning frameworks/software.
martinarjovsky/WassersteinGAN
A PyTorch implementation of the Wasserstein GAN (WGAN) algorithm for generative adversarial networks.
Anttwo/SuGaR
Official PyTorch implementation of an efficient 3D mesh reconstruction and high-quality rendering technique.
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